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Authors: Camelia Vidrighin Bratu and Rodica Potolea

Affiliation: Technical University of Cluj-Napoca, Romania

ISBN: 978-989-8111-53-1

Keyword(s): Feature Selection, Classification, Baseline Accuracy, Combined Method.

Related Ontology Subjects/Areas/Topics: Business Analytics ; Communication and Software Technologies and Architectures ; Data Engineering ; Data Warehouses and Data Mining ; e-Business ; Enterprise Information Systems

Abstract: Feature selection is an important step in any data mining process, for many reasons. In this paper we consider the improvement of the prediction accuracy as the main goal of a feature selection method. We focus on an existing 3-step formalism, including a generation procedure, evaluation function and validation procedure. The performance evaluations have yielded that no individual 3-tuple (generation, evaluation and validation procedure) can be identified such that it achieves best performance on any dataset, with any learning algorithm. Moreover, the experimental results suggest the possibility of tackling a combined approach to the feature selection problem. So far we have experienced with the combination of several generation procedures, but we believe that the evaluation functions can also be successfully combined.

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Paper citation in several formats:
Vidrighin Bratu C.; Potolea R. and (2008). TOWARDS A COMBINED APPROACH TO FEATURE SELECTION.In Proceedings of the Third International Conference on Software and Data Technologies - Volume 2: ICSOFT, ISBN 978-989-8111-53-1, pages 134-139. DOI: 10.5220/0001878401340139

@conference{icsoft08,
author={Camelia {Vidrighin Bratu} and Rodica Potolea},
title={TOWARDS A COMBINED APPROACH TO FEATURE SELECTION},
booktitle={Proceedings of the Third International Conference on Software and Data Technologies - Volume 2: ICSOFT,},
year={2008},
pages={134-139},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001878401340139},
isbn={978-989-8111-53-1},
}

TY - CONF

JO - Proceedings of the Third International Conference on Software and Data Technologies - Volume 2: ICSOFT,
TI - TOWARDS A COMBINED APPROACH TO FEATURE SELECTION
SN - 978-989-8111-53-1
AU - Vidrighin Bratu, C.
AU - Potolea, R.
PY - 2008
SP - 134
EP - 139
DO - 10.5220/0001878401340139

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